DocumentCode :
3307287
Title :
Study on Information Hiding Algorithm Based on RBF and LSB
Author :
Zhou, Kaili ; Quan, Taifan ; Kang, Yaohong
Author_Institution :
Res. Inst. of Electron. Eng., Harbin Inst. of Tech., Harbin
Volume :
5
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
612
Lastpage :
614
Abstract :
For improving data security, an information hiding algorithm based on RBF neural network and LSB is presented. The nonlinear mapping relation between input vector and original information is set up by RBF neural network. The data of RBF network is embed in cover image as secret information. The correlation data of original information is avoided being captured in transport process. With infinite kinds of ways to build the input vector, the algorithm cannot be deciphered theoretically. Thus the information is ensured to be absolutely safe. The simulation experiments prove the algorithm is feasible and effective.
Keywords :
cryptography; image processing; radial basis function networks; security of data; LSB algorithm; RBF neural network; cover image; data security; information hiding algorithm; message encrypting transforms; nonlinear mapping; secret information; Artificial neural networks; Cryptography; Data security; Educational institutions; Image reconstruction; Information science; Information security; Neural networks; Radial basis function networks; Safety; Information Hiding; LSB; RBF;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.769
Filename :
4667508
Link To Document :
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